CN117997863A

CN117997863A - Context generation and selection of customized media content

Info

Publication number: CN117997863A
Application number: CN202410201325.XA
Authority: CN
Inventors: J·E·布莱克斯托克; M·C·格兰瑟姆; J·B·英尼斯
Original assignee: Snap Inc
Current assignee: Snap Inc
Priority date: 2017-01-09
Filing date: 2017-12-29
Publication date: 2024-05-07
Also published as: EP4163852A1; KR20210052584A; US12028301B2; KR102248095B1; US11616745B2; WO2018128941A1; US20180198743A1; US20230188490A1; EP3566194A1; KR20190099529A; KR102330665B1; CN110168586A; CN110168586B

Abstract

Systems, methods, and computer-readable media for context generation and selection of customized media content are provided. Embodiments of the present disclosure improve the functionality of electronic messaging software and systems by utilizing avatars of different users within an electronic message to generate and select customized media content items (such as images), among other things, based on the context of communication between the users. For example, users of different mobile computing devices may exchange electronic communications with each other, and the system may analyze these communications to present options for media content items that contain the user's avatar based on content in the communications, actions or events taken by or involving the user, or a combination thereof. Users may select such media content items for inclusion in their electronic communications.

Description

Context generation and selection of customized media content

The present application is a divisional application of patent application filed on 2017, 12, 29, with application number 201780082603.2, entitled "context generation and selection of customized media content".

Technical Field

The present application claims the benefit of priority from U.S. patent application Ser. No. 15/486,117, filed on day 4, month 12, 2017, which claims the benefit of priority from U.S. provisional patent application Ser. No. 62/443,996, filed on day 1, month 9, 2017, each of which is hereby claimed and each of which is incorporated by reference in its entirety.

Background

The popularity of electronic messaging, and in particular instant messaging, continues to grow. Users are increasingly using "emoticons" (which are ideograms and icons) within electronic messages such as text and e-mail, reflecting the global need for more intuitive communication. However, traditional emoticons and similar graphics are often versatile and lack diversity: each individual user is represented by the same set of faces, regardless of appearance, gender, or race. Furthermore, each session using traditional emoticons appears identical and there is no visual personality or cue to identify the participant or distinguish one interaction from the next. Embodiments of the present disclosure address these and other issues.

Drawings

In the drawings, which are not necessarily drawn to scale, like numerals may describe like parts in different views. The same numbers with different letter suffixes may represent different instances of similar components. Some embodiments are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, in which:

FIG. 1 is a block diagram illustrating an example messaging system for exchanging data (e.g., messages and associated content) over a network;

FIG. 2 is a block diagram illustrating further details regarding a messaging system in accordance with an illustrative embodiment;

FIG. 3 is a schematic diagram illustrating data that may be stored in a database of a messaging server system, according to various exemplary embodiments;

FIG. 4 is an exemplary flowchart of a process according to aspects of the present disclosure;

5A-5G are screen shots illustrating aspects of the steps of the method described in FIG. 4;

FIG. 6 is a block diagram illustrating a representative software architecture that may be used in connection with the various hardware architectures described herein; and

Fig. 7 is a block diagram illustrating components of a machine capable of reading instructions from a machine-readable medium (e.g., a machine-readable storage medium) and performing any one or more of the methods discussed herein, according to some example embodiments.

Detailed Description

The following description includes systems, methods, techniques, sequences of instructions, and computer program products embodying illustrative embodiments of the present disclosure. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide an understanding of various embodiments of the inventive subject matter. It will be apparent, however, to one skilled in the art that embodiments of the inventive subject matter may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques have not been shown in detail.

Further, embodiments of the present disclosure improve the functionality of electronic messaging software and systems by utilizing avatars (avatars) of different users within electronic messages to generate and select customized media content items, such as images, based on the context of communications between the users. For example, users of different mobile computing devices may exchange electronic communications with each other, and the system may analyze these communications to present options for media content items containing the user's avatar based on the content in the communication, actions or events taken by or involving the user, or a combination thereof. Users may select such media content items for inclusion in their electronic communications.

In some embodiments, an image may be generated that contains an avatar of the user exchanging electronic communications, such as Short Message Service (SMS) or Multimedia Message Service (MMS) text and email. Such images may be automatically generated based on the communication history between users, the locations of the users, and the events in which the users are engaged. Also, the appearance of the user's avatar may be modified based on the location and event information.

In some embodiments, images and other content received by a computing device may be analyzed to identify characteristics of the content, such as a key of a message. Based on the identified features, a response image (e.g., containing one or more user avatars) may be generated that is appropriate for the content or communication history between the users.

Fig. 1 is a block diagram illustrating an example of a messaging system 100 for exchanging data (e.g., messages and associated content) over a network. Messaging system 100 includes a plurality of client devices 102, each hosting a plurality of applications including messaging client application 104. Each messaging client application 104 is communicatively coupled to other instances of messaging client application 104 and messaging server system 108 via network 106 (e.g., the internet). As used herein, the term "client device" may refer to any machine that interfaces with a communication network, such as network 106, to obtain resources from one or more server systems or other client devices. The client device may be, but is not limited to, a mobile phone, desktop computer, laptop computer, portable Digital Assistant (PDA), smart phone, tablet computer, ultrabook computer, netbook, notebook computer, multiprocessor system, microprocessor-based or programmable consumer electronics, game controller, set top box, or any other communication device available to a user for accessing a network.

In the example shown in fig. 1, each messaging client application 104 is capable of communicating and exchanging data with another messaging client application 104 and messaging server system 108 via network 106. The data exchanged between messaging client applications 104 and messaging server system 108 includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video, or other multimedia data).

The network 106 may include or operate in conjunction with the following networks: an ad hoc network, an intranet, an extranet, a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless LAN (WLAN), a Wide Area Network (WAN), a Wireless WAN (WWAN), a Metropolitan Area Network (MAN), a wireless network (WLAN) the Internet, a portion of the Public Switched Telephone Network (PSTN) Plain Old Telephone Service (POTS) network, cellular telephone network, wireless network,A network, another type of network, or a combination of two or more such networks. For example, the network or a portion of the network may comprise a wireless or cellular network, and the coupling may be a Code Division Multiple Access (CDMA) connection, a global system for mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of various types of data transfer technologies, such as single carrier radio transmission technology (1 xRTT), evolution data optimized (EVDO) technology, general Packet Radio Service (GPRS) technology, enhanced data rates for GSM evolution (EDGE) technology, third generation partnership project (3 GPP) including 3G, fourth generation wireless (4G) networks, universal Mobile Telecommunications System (UMTS), high Speed Packet Access (HSPA), worldwide Interoperability for Microwave Access (WiMAX), long Term Evolution (LTE) standards, other standards defined by various standards setting organizations, other remote protocols, or other data transfer technologies.

The messaging server system 108 provides server-side functionality to specific messaging client applications 104 via the network 106. Although certain functions of messaging system 100 are described herein as being performed by messaging client application 104 or by messaging server system 108, it should be understood that the location of certain functions within messaging client application 104 or messaging server system 108 is a design choice. For example, it is technically preferable to initially deploy certain technologies and functions within messaging server system 108, but later migrate the technologies and functions to messaging client application 104 (where client device 102 has sufficient processing power).

Messaging server system 108 supports various services and operations provided to messaging client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by messaging client application 104. For example, the data may include message content, client device information, geographic location information, media notes and overlays, message content persistence conditions, social network information, and live event information. The exchange of data within messaging system 100 is invoked and controlled by functions available via a User Interface (UI) of messaging client application 104.

Turning now specifically to messaging server system 108, an Application Program Interface (API) server 110 is coupled to application server 112 and provides a programmatic interface to application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120, with data associated with messages processed by the application server 112 being stored in the database 120.

And specifically an Application Program Interface (API) server 110 that receives and transmits message data (e.g., commands and message payloads) between the client device 102 and the application server 112. In particular, an Application Program Interface (API) server 110 provides a set of interfaces (e.g., routines and protocols) that may be invoked or queried by the messaging client application 104 to invoke the functionality of the application server 112. Application Programming Interface (API) server 110 exposes various functions supported by application server 112, including account registration, login functions, sending messages from a particular messaging client application 104 to another messaging client application 104 via application server 112, sending media files (e.g., images or videos) from messaging client application 104 to a messaging server application, as well as possible accesses for another messaging client application 104, setting up collections of media data (e.g., stories), retrieving a friends list of the user of client device 102, retrieving these collections, retrieving messages and content, adding and deleting friends to a social graph, locations of friends within a social graph, open and application events (e.g., related to messaging client application 104).

The application server 112 hosts a plurality of applications and subsystems, including a messaging server application 114, an image processing system 116, and a social networking system 122. The messaging server application 114 implements a number of message processing techniques and functions, particularly aggregation and other processing of content (e.g., text and multimedia content including images and video clips) included in messages received from a number of instances of the messaging client application 104. As will be described in further detail, text and media content from multiple sources may be aggregated into a collection of content (e.g., referred to as a story or gallery). Messaging server application 114 then makes these sets available to messaging client application 104. Such processing may also be performed at the server side by messaging server application 114 in view of hardware requirements of other processor and memory intensive data processing.

The application server 112 also includes an image processing system 116 that is dedicated to performing various image processing operations that generally pertain to images or videos received within the payload of messages at the messaging server application 114.

The social networking system 122 supports various social networking functionality services and makes these functions and services available to the messaging server application 114. To this end, social networking system 122 maintains and accesses entity graph 304 within database 120. Examples of functions and services supported by social networking system 122 include identification of other users of messaging system 100 with whom a particular user has a relationship or "follow," as well as identification of other entities and interests of a particular user.

The application server 112 is communicatively coupled to a database server 118, which database server 118 facilitates access to a database 120, with data associated with messages processed by the messaging server application 114 being stored in the database 120.

Some embodiments may include one or more wearable devices, such as a pendant with an integrated camera that is integrated, in communication, or coupled with the client device 102. Any desired wearable device may be used in connection with embodiments of the present disclosure, such as watches, eyeglasses, goggles, headsets, wrist bands, ear plugs, clothing (such as hats or jackets with integrated electronics), clip-on electronic devices, and any other wearable device.

Fig. 2 is a block diagram illustrating further details regarding messaging system 100, according to an example embodiment. In particular, messaging system 100 is shown to include messaging client application 104 and application server 112, which in turn embody a plurality of subsystems, namely ephemeral timer system 202, collection management system 204, and annotation system 206.

The ephemeral timer system 202 is responsible for enforcing temporary access to content allowed by the messaging client application 104 and the messaging server application 114. To this end, the ephemeral timer system 202 incorporates a plurality of timers that selectively display and enable access to messages and associated content via the messaging client application 104 based on a duration and display parameters associated with the message or collection of messages (e.g., SNAPCHAT stories).

The collection management system 204 is responsible for managing collections of media (e.g., collections of text, image video, and audio data). In some examples, a collection of content (e.g., messages, including images, video, text, and audio) may be organized into an "event library" or "event story. Such a collection may be available for a specified period of time, such as the duration of an event to which the content relates. For example, content related to a concert may be available as a "story" for the duration of the concert. The collection management system 204 may also be responsible for publishing icons that provide notifications of the presence of a particular collection to the user interface of the messaging client application 104.

The collection management system 204 also includes a plan interface 208 that allows the collection manager to manage and plan a particular collection of content. For example, the curation interface 208 enables an event organizer to curate a collection of content related to a particular event (e.g., delete inappropriate content or redundant messages). In addition, the collection management system 204 employs machine vision (or image recognition techniques) and content rules to automatically plan the collection of content. In some embodiments, the user may be paid the compensation to include the user-generated content in the collection. In such cases, the planning interface 208 operates to automatically pay such users to use their content.

The annotation system 206 provides various functions that enable a user to annotate or otherwise modify or edit media content associated with a message. For example, the annotation system 206 provides functionality related to the generation and distribution of media overlays for messages processed by the messaging system 100. The annotation system 206 is operable to provide media overlays (e.g., SNAPCHAT filters) to the messaging client application 104 based on the geographic location of the client device 102. In another example, the annotation system 206 is operable to provide media overlays to the messaging client application 104 based on other information, such as social network information of the user of the client device 102. The media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, text, logos, animations and sound effects. Examples of visual effects include color overlapping. Audio and visual content or visual effects may be applied to media content items (e.g., photos) at the client device 102. For example, the media overlay includes text that may be overlaid on top of a photo generated by the client device 102. In another example, the media overlay includes an identification of the location overlay (e.g., a Venetian beach), a name of the live event, or a name of the merchant overlay (e.g., a beach cafe). In another example, annotation system 206 uses the geographic location of client device 102 to identify a media overlay that includes a merchant name at the geographic location of client device 102. The media overlay may include other indicia associated with the merchant. The media overlay may be stored in database 120 and accessed through database server 118.

In one exemplary embodiment, the annotation system 206 provides a user-based distribution platform that enables a user to select a geographic location on a map and upload content associated with the selected geographic location. The user may also specify an environment in which particular media overlays should be provided to other users. The annotation system 206 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geographic location.

In another exemplary embodiment, the annotation system 206 provides a merchant-based posting platform that enables merchants to select particular media overlays associated with geographic locations via a bidding process. For example, the annotation system 206 associates the media overlay of the highest bidding merchant with the corresponding geographic location for a predefined amount of time.

Fig. 3 is a schematic diagram 300 illustrating data 300 that may be stored in database 120 of messaging server system 108, according to some example embodiments. Although the contents of database 120 are shown as including a plurality of tables, it should be understood that the data may be stored in other types of data structures (e.g., as an object-oriented database).

Database 120 includes message data stored within message table 314. Entity table 302 stores entity data, including entity map 304. The entities whose records are maintained within the entity table 302 may include individuals, corporate entities, organizations, objects, places, events, and the like. Whatever the type, any entity to which messaging server system 108 stores data may be an identified entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).

Entity map 304 also stores information about relationships and associations between entities. For example, such relationships may be social, professional (e.g., working at a common company or organization), interest-based, or activity-based, just as examples.

Database 120 also stores annotation data in annotation table 312 in the example form of filters. Filters for which data is stored in annotation table 312 are associated with and applied to video (whose data is stored in video table 310), images (whose data is stored in image table 308), or both. In one example, the filter is an overlay that is displayed as an overlay over the image or video during presentation to the recipient user. The filters may be of various types, including user-selected filters from a filter library that is presented to the sending user by messaging client application 104 when the sending user is composing a message. Other types of file managers include geo-location filters (also referred to as geo-filters) that may be presented to a sending user based on geographic location. For example, based on geographic location information determined by the GPS unit of the client device 102, the messaging client application 104 may present geographic location filters for neighbors or particular locations within the user interface. Another type of file manager is a data file manager that may be selectively presented to the sending user by messaging client application 104 based on other inputs or information collected by client device 102 during the message creation process. Examples of data filters include a current temperature at a particular location, a current speed at which the sending user is traveling, a battery life of the client device 102, or a current time.

Other annotation data that may be stored within the image table 308 is so-called "shot" data. A "shot" may be a real-time special effect and sound that may be added to an image or video.

As described above, video table 310 stores video data that, in one embodiment, is associated with messages for which records are maintained within message table 314. Similarly, the image table 308 stores image data associated with messages for which message data is stored in the entity table 302. The entity table 302 may associate various annotations from the annotation table 312 with various images and videos stored in the image table 308 and the video table 310.

Story table 306 stores data regarding a collection of messages and associated image, video, or audio data, which is compiled into a collection (e.g., SNAPCHAT stories or gallery). Creation of a particular collection may be initiated by a particular user (e.g., each user for which records are maintained in entity table 302). The user may create a "personal story" in the form of a collection of content that has been created and transmitted/broadcast by the user. To this end, the user interface of messaging client application 104 may include user-selectable icons to enable the sending user to add particular content to his or her personal story.

The collection may also constitute a "live story," which is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a "live story" may constitute a curated stream of user submitted content from different locations and events. For example, the user may be presented with an option to contribute content to a particular live story via a user interface of messaging client application 104, with the user's client device enabling location services and being at a common location event at a particular time. The live story may be identified to the user by messaging client application 104 based on his or her location. The end result is a "live story" told from a community perspective.

A further type of collection of content is referred to as a "location story" that enables users whose client devices 102 are located at a particular geographic location (e.g., within a college or university campus) to contribute to a particular collection. In some embodiments, the contribution to the location story may require a second degree of authentication to verify that the end user belongs to a particular organization or other entity (e.g., is a student in a university campus).

Embodiments of the present disclosure may generate and present customized media content items (such as images, videos, etc.) for use within electronic messages/communications such as Short Message Service (SMS) or Multimedia Message Service (MMS) text and email. Custom images may also be used in conjunction with SNAPCHAT stories, SNAPCHAT filters, and transient messaging functions discussed herein.

Fig. 4 depicts an exemplary process in accordance with aspects of the present disclosure. In this example, the method 400 includes analyzing one or more electronic communications exchanged by a plurality of computing devices over the internet (405) to identify a user of the respective computing device, retrieving a plurality of media content items including an avatar of the user (410), determining a ranking of the media content items (415), and causing the media content items to be displayed on the one or more computing devices (420). The steps of method 400 may be performed in whole or in part, may be performed in conjunction with some or all of the steps in other methods, and may be performed by any number of different systems, such as the systems described in fig. 1 and 7.

Embodiments of the present disclosure may analyze any number of electronic communications (such as emails, text messages, chat messages, etc.) between any number of computing devices and users. In the example depicted in fig. 5A, the user (Jason) enters a chat called "breakfast club" with the other three users (Jenny, dana, and Carlos). Fig. 5A-5G show screen shots of the view of a mobile device from Jason. FIG. 5B depicts a message sent from Dana to Jason's computing device (and Jenny's and Carlos's computing devices), which depicts Dana's avatar. The chat environments in fig. 5A-5G may be implemented by any desired combination of systems and devices, such as through messaging server system 108 in fig. 1.

The system analyzes (410) one or more electronic communications exchanged between two or more computing devices to identify a user associated with the communication. For example, the system may analyze a text message sent from a computing device of a first user to a computing device of a second user to identify a sender (first user) and a recipient (second user) of the communication. Similarly, the system may analyze text messages and emails sent to multiple recipients to identify the sender and recipient. In the example depicted in fig. 5A-5G, the system may analyze chat messages sent from the user (e.g., dana in fig. 5B) to the remaining members of the group (e.g., jason, jenny, and Carlos). Thus, the system may analyze any number of electronic communications associated with any number of different computing devices to identify a respective user associated with each respective computing device.

The system may analyze metadata associated with one or more communications, such as the size of the communication, the date/time it was sent, the language(s) used in the communication, the identifier of the sender(s) or recipient(s), information about the computing device involved in transmitting or receiving the communication (e.g., the sender's or recipient's mobile device or message server), and other information. In the case of identification information, any such identifier may be used, such as the user's full name or a user name associated with the user. The user identifier may also be an identifier associated with the user's computing device, such as a Unique Device Identifier (UDID) or an advertisement Identifier (IDFA). The communication data may also include text, images, video, and other content within the communication. In addition to analyzing the electronic communications to identify the user, the system may use the communications analysis to retrieve (410) the media content items, determine their ranking (415), or both.

The system may request authorization from the user to analyze communication data associated with the user's communication. The authorization request may be presented to the user via the user's computing device and may allow the user to select the type of communication data that the system may analyze and allow the user to completely disable the system from analyzing the user's communication data entirely. In the event that a user grants access to the system to analyze the communication data of the user, the system may analyze the communication data to automatically identify the user associated with the communication.

The system may generate characteristics of avatars representing different users, and use such avatar characteristics to generate images and other media content items containing the user's avatar. As used herein, an "avatar" of a user is any visual representation of the user. The avatar of the user may be based on the image of the user. Alternatively or additionally, the user may select and customize characteristics of the user's avatar via the user's computing device. Such characteristics may include, for example, physical characteristics of the user (e.g., muscles, weight loss, etc.), facial characteristics, clothing and accessories, text displayed with the avatar, and images displayed with the avatar.

Embodiments of the present disclosure may generate media content items containing any number of avatars and store such media content items in a database for later retrieval (410). For example, images containing a single avatar may be generated in some cases, while images containing multiple user avatars may be generated in other cases.

The system may retrieve (410), order (415), or both media content items based on a variety of different criteria. For example, the system may identify a group of users in communication with the first user and select media content items that include an avatar of the first user as well as avatars of other users in communication with the first user. Referring now to fig. 5C, for example, jason sees Dana's message (at the top of the screen) and selects an icon at the bottom of his screen to call up a gallery of media content items. In this example, the system retrieves (410) images of both an avatar containing Jason and an avatar of Dana based on the computing device on which the image being operated by Jason is displayed, and ranks (415) the images containing Dana based on Dana being the most recent user transmitting electronic communications, thereby displaying images featuring an avatar of Dana in preference to images not featuring an avatar of Dana.

In contrast, on the Jenny's computing device, the system may display images of avatars having Jenny and Dana. In this way, the system may retrieve a first plurality of media content items and display them on a first computing device, and retrieve a second plurality of media content items on a second computing device, thereby customizing the set of media content items displayed to different users. In some cases, the system may display the same media content item to different devices. For example, the Dana's computing device may display some or all of the same images as displayed on the Jason device in FIG. 5C.

The system may further retrieve (410) or sort (415) the media content items based on other data received from computing devices of users communicating with each other or from other systems and devices. For example, such information may include geographic location information, date and time information, movement information (and combinations thereof) from one or more computing devices. In one particular example, where a first user and a second user are engaged in a session involving electronic communications, the geographic location information from the first user's device may be cross-referenced with the geographic location information from the second user's device to determine that both the first user and the second user are in the same individual sporting event and to generate or retrieve media content items for the first user and the second user that depict the jersey of their local team playing in the sporting event. The system may further determine that the first and second users are at night and generate a night sky in the background. In another example, the system may utilize motion information from the user's computing device to determine that the user is traveling 40,000 feet in air and at 400mph, and thus likely on an aircraft. The system may then generate/retrieve media content related to the flight or trip.

The system may retrieve (410) or sort (415) media content items based on various events, as well as actions taken by users participating in sessions involving electronic communication exchanges. For example, the system may determine a current mood of one or more users engaged in a session involving an electronic communication exchange. In some embodiments, the user may explicitly indicate the user's mood (e.g., happy, sad, tired, etc.). Additionally or alternatively, the system may analyze the content of one or more electronic communications to determine moods of individual users involved in the communications, as well as overall moods (e.g., optimistic, sad, serious, playful, enthusiasm) of the session or communications. In some embodiments, the system performs text analysis to find keywords associated with emotion and mood from different users in the conversation. In other embodiments, the system may analyze the image (or metadata associated therewith) to determine the mood of the user. In fig. 5A, for example, the system may analyze the image published by Dana (or view the "mood" tag in its metadata) to determine that Dana is currently both hungry and spleen dysphoria.

The moods of the individual users may be different from each other and the moods of the users may affect the mood of the session or it may be independent thereof. For example, a first user (e.g., dana) may post an image (indicating her hunger/spleen dysphoria) in fig. 5A, but continue to discuss work-related items (e.g., neutral key) or a pleasant event she has just experienced (e.g., a positive or happy key) with the group. In this case, dana's mood has little impact on most discussions outside her original post. Conversely, if other users post similar negative content in the discussion (e.g., jason is tired, carlos is not happy, jenny feels overstrain), the system may determine that the overall mood of a series of electronic communications in the conversation is negative, and display (420) similar negative media content items included in the conversation. Alternatively, particularly in the event that the mood of the user's conversation or mood is determined to be negative, the system may display (420) media content that is contrary to the negative mood to help the user have a more positive mood or relax the mood of the user perceived as negative in their conversation.

The level of similarity between the user's determined mood or session base and mood or base associated with the media content item may be represented using any desired scale. For example, each media content item may contain metadata (e.g., happy, sad, tired, etc.) that identifies the mood or mood associated with the media content item and a ranking of the extent of the mood or mood (e.g., on a scale of 1-10). Similarly, the system may identify the mood or mood of the conversation of the user and assign a 1-10 ranking to the mood or mood for comparison with the metadata of the media content item. There may be multiple moods/moods associated with each media content item.

Using the example in FIG. 5A, the Dana's "hangry" image may contain metadata associated with images with "hunger" and "anger" and each ranked 6 on a 1-10 scale. The system may then retrieve (410) media content items having at least 6 in the "hungry" or "live" category and sort (415) the media content items prior to other content items when displayed (420) to the user in the user's gallery.

The system may display media content items (420) on a display screen of one or more computing devices, such as in a menu of image options, for inclusion within an electronic communication to another user, or within the electronic communication itself. The media content items generated by embodiments of the present disclosure may include any number of user avatars in various forms. In some embodiments, the system may retrieve (410) media content items or sort such content (415) for display (420) based on mood of one or more users, mood of one or more communications, or both. For example, the system may determine a mood associated with the electronic communication and select at least a portion of the media content items (410) retrieved from the database based on a level of similarity (or dissimilarity) of the mood of the media content items with the mood associated with the communication(s). In a specific example, referring again to fig. 5C, a media content item that provides a homonym/positive response to Dana's "Hangry" post is retrieved and the two most homonymous images (kissing "You ARE THE SWEETEST (You are the most sweet)" images on cheek images) are arranged in preference to the remaining images in the gallery. In other cases, the system may display similarly negative images, such as Dana's images, in preference to other images in the gallery. In fig. 5D, jason selects an "I' mup (I have got Up)" image from the gallery at the bottom of the screen and sends the image in the chat window.

The system may allow users to select avatars that they wish to view in their gallery available for their media content items. In fig. 5E, for example, jason selects (by long pressing on his computing device's touch screen in this example) an "You ARE THE SWEETEST (You are sweet-most)" image containing the avatar of Jason and the avatar of Dana. The system displays a menu showing avatars for four users in a chat session (left to right: jenny, dana, carlos and Jason). In this example, the avatar menu is ordered to match the "group presence bar" at the bottom of the chat window, which shows, first, other users (Jenny and Dana) who are currently watching chat and, second, other users (Carlos) who are not watching chat.

In FIG. 5F, jason has selected the avatar of Jenny from the avatar menu in FIG. 5E, and the system loads a gallery of Jason of media content items with images featuring Jason's avatar and Jenny's avatar, rather than Dana's avatar. In fig. 5G, jason selects the "How You are" image to send it in chat.

Embodiments of the present disclosure may generate an event story or event gallery based on a collection or series of electronic communications between users and provide temporary access to the event story or gallery. Any set of such communications may be selected based on any criteria, and one or more users may be granted access to the event story or gallery for any desired predetermined period of time. Also, the system may grant access to the media content item for a predetermined period of time. Media content items generated or retrieved by the system may also be presented in conjunction with a media overlay (e.g., SNAPCHAT filters).

Software architecture

Fig. 6 is a block diagram illustrating an exemplary software architecture 606 that may be used in connection with the various hardware architectures described herein. FIG. 6 is a non-limiting example of a software architecture, and it should be appreciated that many other architectures can be implemented to facilitate the functionality described herein. The software architecture 606 may execute on hardware, such as the machine 700 of fig. 7, the machine 700 including, among other things, a processor 704, memory 714, and I/O components 718. A representative hardware layer 652 is shown and may represent, for example, the machine 700 of fig. 7. The representative hardware layer 652 includes a processing unit 654 having associated executable instructions 604. Executable instructions 604 represent executable instructions of software architecture 606, including implementations of the methods, components, etc. described herein. The hardware layer 652 also includes a memory or storage module memory/storage 656, which also has executable instructions 604. Hardware layer 652 may also include other hardware 658.

As used herein, the term "component" may refer to a device, physical entity, or logic with boundaries defined by function or subroutine calls, branch points, application Program Interfaces (APIs), or other techniques that provide partitioning or modularization of particular processing or control functions. Components may be combined with other components via their interfaces to perform machine processes. A component may be a part of a packaged-function hardware unit designed for use with other components, as well as a program that typically performs the specific functions of the relevant function.

The components may constitute software components (e.g., code embodied on a machine-readable medium) or hardware components. A "hardware component" is a tangible unit capable of performing certain operations and may be configured or arranged in some physical manner. In various exemplary embodiments, one or more computer systems (e.g., a stand-alone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a set of processors) may be configured by software (e.g., an application or application portion) as hardware components that operate to perform certain operations as described herein. The hardware components may also be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component may include specialized circuitry or logic permanently configured to perform certain operations.

The hardware component may be a special purpose processor such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). The hardware components may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, the hardware components may include software that is executed by a general purpose processor or other programmable processor. Once such software is configured, the hardware components become specific machines (or specific components of machines) that are uniquely tailored to perform the configured functions and are no longer general purpose processors. It should be appreciated that decisions for mechanically implementing hardware components in dedicated and permanently configured circuitry or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.

A processor may be or include any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values in accordance with control signals (e.g., "commands," "operation code," "machine code," etc.) and generates corresponding output signals that are applied to operate the machine. For example, the processor may be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio Frequency Integrated Circuit (RFIC), or any combination thereof. A processor may also be a multi-core processor having two or more independent processors (sometimes referred to as "cores") that may execute instructions simultaneously.

Thus, the phrase "hardware component" (or "hardware-implemented component") should be understood to include a tangible entity, either physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a manner or to perform certain operations described herein. Consider an embodiment in which hardware components are temporarily configured (e.g., programmed), each of which need not be configured or instantiated at any one time. For example, where the hardware components include a general-purpose processor configured by software as a special-purpose processor, the general-purpose processor may be configured at different times as separate different special-purpose processors (e.g., including different hardware components). The software configures the particular processor or processors accordingly, e.g., to form particular hardware components at one time and to form different hardware components at different times. A hardware component may provide information to and receive information from other hardware components. Thus, the described hardware components may be considered to be communicatively coupled. Where multiple hardware components are present at the same time, communication may be achieved by signal transmission (e.g., through appropriate circuitry and buses) between or among two or more of the hardware components. In embodiments in which multiple hardware components are configured or instantiated at different times, communication between the hardware components may be achieved, for example, by storing and retrieving information in a memory structure accessible to the multiple hardware components.

For example, one hardware component may perform an operation and store an output of the operation in a memory device communicatively coupled thereto. Another hardware component may then later access the memory device to retrieve and process the stored output. The hardware component may also initiate communication with an input or output device and may operate on a resource (e.g., a collection of information). Various operations of the example methods described herein may be performed, at least in part, by one or more processors that are temporarily configured (e.g., via software) or permanently configured to perform the relevant operations. Whether temporarily configured or permanently configured, such a processor may constitute a processor-implemented component that operates to perform one or more of the operations or functions described herein. As used herein, "processor-implemented components" refers to hardware components implemented using one or more processors. Similarly, the methods described herein may be implemented, at least in part, by a processor, with the particular processor being an example of hardware. For example, at least some of the operations of the method may be performed by one or more processors or processor-implemented components.

In addition, one or more processors may also operate to support performance of relevant operations in a "cloud computing" environment or as "software as a service" (SaaS). For example, at least some of the operations may be performed by a set of computers (as examples of machines including processors), which may be accessed via a network (e.g., the internet) and via one or more suitable interfaces (e.g., application Program Interfaces (APIs)). Execution of certain of the operations may be distributed among processors, not only residing within a single machine, but also deployed on multiple machines. In some example embodiments, the processor or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other exemplary embodiments, the processor or processor-implemented components may be distributed across multiple geographic locations.

In the exemplary architecture of fig. 6, the software architecture 606 may be conceptualized as a stack of layers where each layer provides a particular function. For example, the software architecture 606 may include layers such as an operating system 602, libraries 620, applications 616, and a presentation layer 614. In operation, an application 616 or other component within a layer may call an Application Programming Interface (API) API call 608 through a software stack and receive a message 612 in response to the API call 608. The layers shown are representative in nature and not all software architectures have all layers. For example, some mobile or dedicated operating systems may not provide framework/middleware 618, while other operating systems may provide this layer. Other software architectures may include additional or different layers.

The operating system 602 may manage hardware resources and provide common services. Operating system 602 may include, for example, kernel 622, services 624, and drivers 626. The kernel 622 can act as an abstraction layer between hardware and other software layers. For example, the kernel 622 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and the like. The service 624 may provide other common services for other software layers. The driver 626 is responsible for controlling or interfacing with the underlying hardware. Depending on the hardware configuration, for example, the drivers 626 include a display driver, a camera driver,Driver, flash memory driver, serial communication driver (e.g., universal Serial Bus (USB) driver),/>, and the likeDrivers, audio drivers, power management drivers, etc.

Library 620 provides a common infrastructure used by applications 616, other components, layers, or a combination thereof. Library 620 provides functionality that allows other software components to perform tasks in an easier manner than directly interfacing with the underlying operating system 602 functions (e.g., kernel 622, services 624, or drivers 626). Library 620 may include a system library 644 (e.g., a C-standard library) that may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, and the like. In addition, libraries 620 may include API libraries 646, such as media libraries (e.g., libraries for supporting presentation and manipulation of various media formats such as MPREG, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., openGL frameworks that may be used to present 2D and 3D in graphics content on a display), database libraries (e.g., SQLite that may provide various relational database functions), web libraries (e.g., webKit that may provide web browsing functions), and the like. Library 620 may also include various other libraries 648 to provide many other APIs to applications 616 and other software components/modules.

Framework/middleware 618 (also sometimes referred to as middleware) provides a higher-level common infrastructure that can be used by applications 616 or other software components/modules. For example, the framework/middleware 618 can provide various Graphical User Interface (GUI) functions, advanced resource management, advanced location services, and the like. The framework/middleware 618 can provide a wide range of other APIs that can be utilized by the applications 616 or other software components/modules, some of which can be specific to a particular operating system 602 or platform.

The applications 616 include built-in applications 638 or third party applications 640. Examples of the representative built-in application 638 may include, but are not limited to, a contact application, a browser application, an electronic book reader application, a location application, a media application, a messaging application, or a gaming application. Third party applications 640 may include applications developed by entities other than the vendor of a particular platform using ANDROID ^TM or IOS ^TM Software Development Kit (SDK) and may be in a mobile operating system such as IOS ^TM、ANDROID^TM,Phone or other mobile operating system. The third party application 640 may call an API call 608 provided by a mobile operating system, such as operating system 602, to facilitate the functionality described herein.

Applications 616 may use built-in operating system functions (e.g., kernel 622, services 624, or drivers 626), libraries 620, and framework/middleware 618 to create a user interface to interact with a user of the system. Alternatively or additionally, in some systems, interactions with a user may occur through a presentation layer (such as presentation layer 614). In these systems, the application/component "logic" may be separated from aspects of the application/component that interact with the user.

Fig. 7 is a block diagram illustrating components (also referred to herein as "modules") of a machine 700 capable of reading instructions from a machine-readable medium (e.g., a machine-readable storage medium) and performing any one or more of the methods discussed herein, according to some example embodiments. In particular, FIG. 7 shows a diagrammatic representation of machine 700 in the example form of a computer system within which instructions 710 (e.g., software, programs, applications, applets, application programs, or other executable code) for causing the machine 700 to perform any one or more of the methods discussed herein may be executed. As such, the instructions 710 may be used to implement the modules or components described herein. Instructions 710 transform a generic, un-programmed machine 700 into a specific machine 700 that is programmed to perform the functions described and illustrated in the manner described. In alternative embodiments, machine 700 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 700 may operate in the capacity of a server machine or a client machine in server-client network environments, or as a peer machine in peer-to-peer (or distributed) network environments. Machine 700 may include, but is not limited to, a server computer, a client computer, a Personal Computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a Personal Digital Assistant (PDA), an entertainment media system, a cellular telephone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart home appliance), other smart devices, a network device, a network router, a network switch, a network bridge, or any machine capable of executing instructions 710 sequentially or otherwise, instructions 710 specifying actions to be taken by machine 700. Further, while only a single machine 700 is illustrated, the term "machine" shall also be taken to include a collection of machines that individually or jointly execute instructions 710 to perform any one or more of the methodologies discussed herein.

Machine 700 may include a processor 704, memory/storage 706, and I/O components 718, which may be configured to communicate with each other, such as via bus 702. Memory/storage 706 may include memory 714, such as main memory or other memory storage, and storage unit 716, both of which are accessible by processor 704, such as via bus 702. The storage unit 716 and memory 714 store instructions 710 that implement any one or more of the methods or functions described herein. The instructions 710 may also reside, completely or partially, within the memory 714, within the storage unit 716, within at least one of the processors 704 (e.g., within a cache memory of a processor), or any suitable combination thereof, during execution thereof by the machine 700. Accordingly, the memory 714, storage unit 716, and memory of the processor 704 are examples of machine-readable media.

The terms "machine-readable medium," "computer-readable medium," and the like, as used herein, may refer to any component, device, or other tangible medium that is capable of temporarily or permanently storing instructions and data. Examples of such media may include, but are not limited to, random Access Memory (RAM), read Only Memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage devices (e.g., erasable programmable read only memory (EEPROM)), or any suitable combination thereof. The term "machine-readable medium" shall be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) that are capable of storing the instructions. The term "machine-readable medium" may also be considered to include any medium or combination of multiple media capable of storing instructions (e.g., code) for execution by a machine, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methods described herein. Thus, a "machine-readable medium" may refer to a single storage device or apparatus, as well as a "cloud-based" storage system or storage network that includes multiple storage devices or apparatus. The term "machine-readable medium" itself excludes signals.

The I/O component 718 may include various components to provide a user interface for receiving input, providing output, generating output, transmitting information, exchanging information, capturing measurements, and the like. The particular I/O components 718 included in the user interface for a particular machine 700 will depend on the type of machine. For example, a portable machine such as a mobile phone would likely include a touch input device or other such input mechanism, while a headless server machine would likely not include such a touch input device. It should be appreciated that I/O component 718 may include many other components not shown in FIG. 7. Grouping the I/O components 718 according to functionality is merely for simplifying the following discussion and the grouping is in no way limiting. In various exemplary embodiments, the I/O components 718 may include an output component 726 and an input component 728. The output component 726 can include visual components (e.g., a display such as a Plasma Display Panel (PDP), a Light Emitting Diode (LED) display, a Liquid Crystal Display (LCD), a projector, or a Cathode Ray Tube (CRT)), audible components (e.g., speakers), tactile components (e.g., a vibration motor, a resistive mechanism), other signal generators, and so forth. Input components 728 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, an electro-optical keyboard, or other alphanumeric input components), pointing-based input components (e.g., a mouse, touchpad, trackball, joystick, motion sensor, or other pointing instrument), tactile input components (e.g., physical buttons, a touch screen that provides a location or force of a touch or touch gesture, or other tactile input components), audio input components (e.g., a microphone), and the like. The input component 728 may also include one or more image capture devices, such as a digital camera for generating digital images or video.

In further exemplary embodiments, the I/O component 718 may include a biometric component 730, a motion component 734, an environmental component 736 of an environment, or a location component 738, as well as a wide range of other components. One or more of such components (or portions thereof) may be collectively referred to herein as a "sensor component" or "sensor" for collecting various data related to the machine 700, the environment of the machine 700, the user of the machine 700, or a combination thereof.

For example, the biometric component 730 may include the following: for detecting expressions (e.g., hand expressions, face expressions, voice expressions, body gestures, or eye tracking), measuring biological signals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identifying a person (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or electroencephalogram based recognition), and the like. The motion component 734 may include an acceleration sensor component (e.g., accelerometer), a gravity sensor component, a rotation sensor component (e.g., gyroscope), and so forth. Environmental components 736 may include, for example, a brightness sensor component (e.g., photometer), a temperature sensor component (e.g., one or more thermometers that detect ambient temperature), a humidity sensor component, a pressure sensor component (e.g., barometer), an acoustic sensor component (e.g., one or more microphones that detect background noise), a proximity sensor component (e.g., an infrared sensor that detects nearby objects), a gas sensor (e.g., a gas detection sensor that detects hazardous gas concentrations to ensure safety or to measure contaminants in the atmosphere), or other components that may provide an indication, measurement, or signal corresponding to the surrounding physical environment. The location component 738 may include a location sensor component (e.g., a Global Positioning System (GPS) receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure from which altitude may be derived), an orientation sensor component (e.g., a magnetometer), and the like. For example, the location sensor component can provide location information associated with the system 700, such as GPS coordinates of the system 700 or information about the current location of the system 700 (e.g., name of a restaurant or other business).

Communication may be implemented using a variety of techniques. The I/O component 718 may include a communication component 740 that is operable to couple the machine 700 to the network 732 or the device 720 via coupling 722 and coupling 724, respectively. For example, communication component 740 may include a network interface component or other suitable device to interface with network 732. In further examples, the communication component 740 may include a wired communication component, a wireless communication component, a cellular communication component, a Near Field Communication (NFC)) component,Parts (e.g./>Low energy consumption (/ >)Low Energy))、/>Components and other communication components to provide communication via other means. Device 720 may be another machine or any of a variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).

Further, communication component 740 may detect an identifier or include components operable to detect an identifier. For example, the communication component 740 may include a Radio Frequency Identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., an optical sensor for detecting one-dimensional barcodes such as Universal Product Code (UPC) barcodes, multidimensional barcodes such as Quick Response (QR) codes, aztec codes, data matrices, dataglyph, maxiCode, PDF417, super codes, UCCRSS-2D barcodes, and other optical codes), or an auditory detection component (e.g., a microphone for identifying marked audio signals). In addition, various information may be derived via the communication component 740, such as a location derived via Internet Protocol (IP) geographic location, a location derived via Wi-Fi signal triangulation, a location derived via detecting NFC beacon signals that may indicate a particular location, and so forth.

Where a phrase similar to "at least one of a, B or C", "at least one of a, B and C", "one or more of a, B or C" or "one or more of a, B and C" is used, the phrase is intended to be construed to mean that a may be present in an embodiment only, B may be present in an embodiment only, C may be present in an embodiment only, or any combination of elements A, B and C may be present in a single embodiment; for example, a and B, A and C, B and C, or a and B and C.

A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the patent and trademark office patent file or records, but otherwise reserves all copyright rights whatsoever. The following claims apply to the software and data as described below and in the accompanying drawings forming a part of this document: copyright 2016, snap company 2016, reserves all rights.

Variations and modifications may be made to the disclosed embodiments without departing from the scope of the disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure as expressed in the appended claims.

Claims

1. A system for electronic communications, comprising:

A processor; and

A memory coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform operations comprising:

automatically analyzing a session comprising a plurality of messages sent via a messaging platform over the internet between client devices respectively associated with a set of session participants identified as a group of two or more users participating in at least a portion of the session;

determining respective current moods of one or more of the conversation participants based on the analysis of the conversation;

Retrieving a plurality of media content items from a database in communication with the system for suggesting inclusion in further messages by a target user in response to the session;

automatically determining a ranking of the plurality of media content items based at least in part on the one or more identified participant moods;

causing a target device associated with the target user to display a gallery presenting user-selectable options for media content items, the gallery displaying the plurality of media content items using the determined presentation ordering; and

In response to a user selection of one of the plurality of media content items in the gallery, the selected media content item is included in the further message from the target device to form part of the session.

2. The system of claim 1, wherein the instructions further configure the system to identify a conversation motif applicable to message content of at least a portion of the conversation.

3. The system of claim 2, wherein the identification of the conversation motif is such that the identified conversation motif is dependent on a respective identified mood of each participant in the set of participants.

4. The system of claim 2, wherein the identification of the session key is such that the identified session key is dependent on a respective identified mood of at least one participant in the set of participants.

5. The system of claim 2, wherein the session key is identified with respect to a particular message of the plurality of messages that has been composed by the target user.

6. The system of claim 2, wherein the session key is identified as a key for the session population.

7. The system of claim 6, wherein the instructions configure the system to further perform operations comprising:

a ranking of the plurality of media content items is determined based at least in part on the identified one or more participant moods and based at least in part on the identified session key.

8. The system of claim 7, wherein retrieving the plurality of media content items comprises:

selecting a first portion of the plurality of media content items based on the identified session key of the session population; and

A second portion of the plurality of media content items is selected based on the respective identified moods.

9. The system of claim 1, wherein the plurality of media content items retrieved are variable at least in part for the body of the target user, the target device providing a first device of the plurality of client devices, and the plurality of media content items providing a first plurality of media content items, the instructions configuring the system to further perform operations comprising:

The suggestion for via a second target device associated with a second target user different from the target user includes:

retrieving a second, different plurality of media content items; and

Causing the second target device to display the second plurality of media content items in respective gallery.

10. The system of claim 9, wherein the first plurality of media content items and the second plurality of media content items each comprise at least one media content item that includes both an avatar of the first user and an avatar of the second user.

11. The system of claim 9, wherein the first plurality of media content items and the second plurality of media content items share at least one item in common.

12. The system of claim 7, wherein each of the plurality of media content items has respective associated predefined contextual metadata comprising at least one of:

mood metadata indicating one or more user moods associated with the media content item; and

Key metadata indicating one or more session keys associated with the media content item,

Wherein the determination of the presentation ordering is based at least in part on a comparison of the respective media content item context metadata to at least one of:

the identified context key; and

At least one of the participants has its own identified mood.

13. The system of claim 12, wherein contextual metadata of one or more of the plurality of media content items includes both mood metadata and mood metadata, and the confirmation of the presentation ordering is based at least in part on a comparison between the respective media content item metadata and the identified mood of at least one participant in the set of participants reconciled with the identified basis of the session.

14. The system of claim 12, further comprising:

Identifying that the identified key of the session is negative; and

In response to or under the condition that the identified conversation key is identified as negative, retrieving the plurality of media content items and/or determining the presentation ordering based on a level of dissimilarity with the negative key of the conversation, thereby causing media content items indicated by their key metadata as being associated with an opposite positive key to be displayed in the gallery.

15. A computer-implemented method, comprising:

Automatically analyzing, by the computer system thus configured, a session comprising a plurality of messages sent over the internet via a messaging platform between client devices respectively associated with a set of session participants identified as a group of two or more users participating in at least a portion of the session;

Retrieving, by the computer system, a plurality of media content items from a database in communication with the computer system for suggesting inclusion in further messages by a target user in response to the session;

automatically determining, by the computer system, a ranking of the plurality of media content items based at least in part on one or more identified participant moods;

Causing, by the computer system, a target device associated with the target user to display a gallery presenting user-selectable options for media content items, the gallery displaying the plurality of media content items using the determined presentation ordering; and

16. The method of claim 15, further comprising:

Identifying a conversation motif applicable to message content of at least a portion of the conversation; and

17. The method of claim 15, wherein retrieving the plurality of media content items comprises:

18. The method of claim 17, wherein the first plurality of media content items and the second plurality of media content items each comprise at least one media content item that includes both an avatar of the first user and an avatar of the second user.

19. The method of claim 16, wherein the identifying of the session key is such that the identified session key is dependent on a respective identified mood of at least one participant in the set of participants.

20. A non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to perform operations comprising: